openclaw/docs/providers/fireworks.md

summary	read_when
Use Fireworks AI serverless models in Moltbot	You want fast serverless inference in Moltbot You want Fireworks AI setup guidance

Fireworks AI

Fireworks AI provides fast, cost-effective serverless inference for popular open-source models including DeepSeek, Qwen, Kimi, Llama, GLM, and more. All models run on optimized infrastructure with low latency and competitive pricing.

Why Fireworks in Moltbot

• Fast inference with optimized serving infrastructure.
• Wide model selection including DeepSeek V3.2, Qwen3, Kimi K2.5, Llama 3.3, GLM-4.7, and more.
• Serverless - no infrastructure management, pay per token.
• OpenAI-compatible /v1 endpoints.

Features

• Serverless inference: No GPU management, instant scaling
• OpenAI-compatible API: Standard /v1 endpoints for easy integration
• Streaming: Supported on all models
• Function calling: Supported on most models
• Vision: Supported on vision-capable models (Qwen VL series)
• Reasoning models: DeepSeek R1, Qwen3 Thinking, Kimi K2 Thinking, Kimi K2.5

Setup

1. Get API Key

1. Sign up at fireworks.ai
2. Go to Settings > API Keys > Create API Key
3. Copy your API key (should start with fw_)

2. Configure Moltbot

Option A: Environment Variable

export FIREWORKS_API_KEY="fw_xxxxxxxxxxxx"

Option B: Interactive Setup (Recommended)

moltbot onboard --auth-choice fireworks-api-key

This will:

1. Prompt for your API key (or use existing FIREWORKS_API_KEY)
2. Configure the Fireworks provider with available models
3. Let you pick your default model
4. Set up the provider automatically

Option C: Non-interactive

moltbot onboard --non-interactive \
  --auth-choice fireworks-api-key \
  --fireworks-api-key "fw_xxxxxxxxxxxx"

3. Verify Setup

moltbot chat --model fireworks/accounts/fireworks/models/kimi-k2p5 "Hello, are you working?"

Model Selection

Moltbot includes a curated catalog of popular Fireworks models. Pick based on your needs:

• Default: kimi-k2p5 (Kimi K2.5) - vision + reasoning, 262k context.
• Best reasoning: deepseek-r1-0528 or qwen3-235b-a22b-thinking-2507
• Coding: qwen3-coder-480b-a35b-instruct
• Vision: qwen3-vl-235b-a22b-instruct or qwen2p5-vl-32b-instruct

Change your default model anytime:

moltbot models set fireworks/accounts/fireworks/models/kimi-k2p5
moltbot models set fireworks/accounts/fireworks/models/deepseek-v3p2

List all available models:

moltbot models list | grep fireworks

Which Model Should I Use?

Use Case	Recommended Model	Why
General chat	kimi-k2p5	Vision + reasoning, 262k context
Complex reasoning	deepseek-r1-0528	Best for step-by-step reasoning
Agentic tasks	gpt-oss-120b	Designed for reasoning and agentic use
Coding	qwen3-coder-480b-a35b-instruct	Code-optimized, 262k context
Vision tasks	qwen3-vl-235b-a22b-instruct	Best multimodal capabilities
Fast + cheap	qwen3-8b	Lightweight, low latency
Long context	kimi-k2-instruct-0905	262k context window

Available Models (25 Total)

Text Models

Model ID	Name	Context	Features
deepseek-r1-0528	Deepseek R1 05/28	163k	Reasoning
deepseek-v3-0324	Deepseek V3 03-24	163k	General
deepseek-v3p1	DeepSeek V3.1	163k	General
deepseek-v3p1-terminus	DeepSeek V3.1 Terminus	163k	General
deepseek-v3p2	Deepseek v3.2	163k	General
glm-4p6	GLM-4.6	202k	Reasoning
glm-4p7	GLM-4.7	202k	Reasoning
gpt-oss-120b	OpenAI gpt-oss-120b	131k	Reasoning
gpt-oss-20b	OpenAI gpt-oss-20b	131k	Reasoning
kimi-k2-instruct-0905	Kimi K2 Instruct 0905	262k	Long context
kimi-k2p5	Kimi K2.5	262k	Vision, reasoning
kimi-k2-thinking	Kimi K2 Thinking	256k	Reasoning
llama-v3p3-70b-instruct	Llama 3.3 70B Instruct	131k	General
minimax-m2	MiniMax-M2	196k	Agentic, coding
minimax-m2p1	MiniMax-M2.1	204k	Agentic, coding
qwen3-235b-a22b	Qwen3 235B A22B	131k	General
qwen3-235b-a22b-instruct-2507	Qwen3 235B A22B Instruct 2507	262k	General
qwen3-235b-a22b-thinking-2507	Qwen3 235B A22B Thinking 2507	262k	Reasoning
qwen3-8b	Qwen3 8B	40k	Fast
qwen3-coder-480b-a35b-instruct	Qwen3 Coder 480B A35B Instruct	262k	Coding

Vision Models

Model ID	Name	Context	Features
qwen2p5-vl-32b-instruct	Qwen2.5-VL 32B Instruct	128k	Vision
qwen3-vl-235b-a22b-instruct	Qwen3 VL 235B A22B Instruct	262k	Vision
qwen3-vl-235b-a22b-thinking	Qwen3 VL 235B A22B Thinking	262k	Vision, reasoning
qwen3-vl-30b-a3b-instruct	Qwen3 VL 30B A3B Instruct	262k	Vision
qwen3-vl-30b-a3b-thinking	Qwen3 VL 30B A3B Thinking	262k	Vision, reasoning

Model IDs

Fireworks model IDs use the full resource path format:

accounts/fireworks/models/<model-name>

When using models in Moltbot, prefix with the provider:

moltbot chat --model fireworks/accounts/fireworks/models/deepseek-v3p2

Streaming and Tool Support

Feature	Support
Streaming	All models
Function calling	Most models (check supportsTools in API)
Vision/Images	Vision models only
JSON mode	Supported via response_format

Pricing

Fireworks uses pay-per-token pricing. Check fireworks.ai/pricing for current rates. Generally:

• Smaller models (8B-30B): Lower cost, faster
• Larger models (70B+): Higher quality, higher cost
• MoE models: Cost-effective for their capability

Usage Examples

# Use Kimi K2.5 (recommended default)
moltbot chat --model fireworks/accounts/fireworks/models/kimi-k2p5

# Use DeepSeek V3.2
moltbot chat --model fireworks/accounts/fireworks/models/deepseek-v3p2

# Use coding model
moltbot chat --model fireworks/accounts/fireworks/models/qwen3-coder-480b-a35b-instruct

# Use vision model
moltbot chat --model fireworks/accounts/fireworks/models/qwen3-vl-235b-a22b-instruct

Troubleshooting

API key not recognized

echo $FIREWORKS_API_KEY
moltbot models list | grep fireworks

Ensure the key is valid and has not expired.

Model not available

Run moltbot models list to see currently available models in the catalog. If a model you need is missing, you can add it manually to your config file.

Connection issues

Fireworks API is at https://api.fireworks.ai. Ensure your network allows HTTPS connections.

Config file example

{
  env: { FIREWORKS_API_KEY: "fw_..." },
  agents: { defaults: { model: { primary: "fireworks/accounts/fireworks/models/kimi-k2p5" } } },
  models: {
    mode: "merge",
    providers: {
      fireworks: {
        baseUrl: "https://api.fireworks.ai/inference/v1",
        apiKey: "${FIREWORKS_API_KEY}",
        api: "openai-completions",
        models: [
          {
            id: "accounts/fireworks/models/kimi-k2p5",
            name: "Kimi K2.5",
            reasoning: true,
            input: ["text", "image"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 262144,
            maxTokens: 8192
          }
        ]
      }
    }
  }
}

Links

• Fireworks AI
• API Documentation
• Pricing
• Model Library